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        <li class="chapter " data-level="1.1" data-path="../../../">
            
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                    MLSQL Stack
            
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        <li class="header">产品信息</li>
        
        
    
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                    MLSQL官方博客
            
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                <a target="_blank" href="http://blog.mlsql.tech/blog/demo.html">
            
                    
                    MLSQL Stack体验站点
            
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        <li class="header">版本以及部署</li>
        
        
    
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                    所有版本
            
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                    MLSQL Stack版本管理策略
            
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                    MLSQL Stack 2.0.1版发布
            
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                    MLSQL Stack 2.0.0版发布
            
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                    MLSQL Stack 2.0.1 Bug 合集
            
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                    MLSQL Stack 2.0.0 Bug 合集
            
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                    基本安装
            
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                    MLSQL Console 安装
            
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                    MLSQL Console 初始配置
            
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                    MLSQL Engine 安装与配置
            
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                    启动参数详解
            
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                    Local
            
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                    K8s部署
            
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                    Yarn部署
            
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        <li class="header">操作指南</li>
        
        
    
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                    Analysis Workshop使用
            
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                    软件界面介绍
            
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                    Admin管理后台之Engine配置
            
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                    简单使用示例
            
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                    透视表
            
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                    可视化
            
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                    使用窗口进行数据分析
            
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                    复杂组合条件过滤
            
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                    MySQL数据库配置
            
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        <li class="chapter " data-level="4.1.9" data-path="../../../analysis-workshop/json-fields.html">
            
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                    Json字段展开
            
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        <li class="chapter " data-level="4.1.10" data-path="../../../analysis-workshop/aw-plugin.html">
            
                <a href="../../../analysis-workshop/aw-plugin.html">
            
                    
                    用MLSQL为Analysis Workshop开发插件
            
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        <li class="chapter " data-level="4.2" data-path="../../../console/">
            
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                    MLSQL语言控制台使用
            
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                    界面简介
            
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                    简单使用示例
            
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        <li class="header">MLSQL语法以及编程教程</li>
        
        
    
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                    MLSQL语法手册
            
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                    Set语法
            
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        <li class="chapter " data-level="5.1.2" data-path="../../../lang/load.html">
            
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                    Load语法
            
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        <li class="chapter " data-level="5.1.3" data-path="../../../lang/select.html">
            
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                    Select语法
            
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        <li class="chapter " data-level="5.1.4" data-path="../../../lang/et_statement.html">
            
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                    Train/Run/Predict语法
            
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        <li class="chapter " data-level="5.1.5" data-path="../../../lang/register.html">
            
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                    Register语法
            
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        <li class="chapter " data-level="5.1.6" data-path="../../../lang/save.html">
            
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                    Save语法
            
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        <li class="chapter " data-level="5.1.7" data-path="../../../lang/macro.html">
            
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                    宏语法(命令行)
            
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        <li class="chapter " data-level="5.1.8" data-path="../../../lang/include.html">
            
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                    Include语法
            
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        <li class="chapter " data-level="5.1.9" >
            
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                    分支语句
            
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        <li class="chapter " data-level="5.1.10" data-path="../../../lang/analyze.html">
            
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                    MLSQL语法解析接口
            
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        <li class="chapter " data-level="5.2" data-path="../../../batch/">
            
                <a href="../../../batch/">
            
                    
                    MLSQL批处理编程
            
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        <li class="chapter " data-level="5.2.1" data-path="../../../datahouse/">
            
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                    MLSQL数仓/数据湖使用
            
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        <li class="chapter " data-level="5.2.1.1" data-path="../../../datahouse/hive.html">
            
                <a href="../../../datahouse/hive.html">
            
                    
                    Hive加载和存储
            
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        <li class="chapter " data-level="5.2.1.2" data-path="../../../datahouse/delta.html">
            
                <a href="../../../datahouse/delta.html">
            
                    
                    Delta加载和存储以及流式支持
            
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        <li class="chapter " data-level="5.2.1.3" data-path="../../../datahouse/binlog.html">
            
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                    MySQL Binlog同步
            
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        <li class="chapter " data-level="5.2.2" data-path="../../../datasource/">
            
                <a href="../../../datasource/">
            
                    
                    加载和存储多种数据源
            
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                    JDBC
            
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        <li class="chapter " data-level="5.2.2.2" data-path="../../../datasource/es.html">
            
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                    ElasticSearch
            
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        <li class="chapter " data-level="5.2.2.3" data-path="../../../datasource/solr.html">
            
                <a href="../../../datasource/solr.html">
            
                    
                    Solr
            
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        </li>
    
        <li class="chapter " data-level="5.2.2.4" data-path="../../../datasource/hbase.html">
            
                <a href="../../../datasource/hbase.html">
            
                    
                    HBase
            
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        <li class="chapter " data-level="5.2.2.5" data-path="../../../datasource/mongodb.html">
            
                <a href="../../../datasource/mongodb.html">
            
                    
                    MongoDB
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.2.6" data-path="../../../datasource/file.html">
            
                <a href="../../../datasource/file.html">
            
                    
                    Parquet/Json/Text/Xml/Csv
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.2.7" data-path="../../../datasource/mlsql_source.html">
            
                <a href="../../../datasource/mlsql_source.html">
            
                    
                    jsonStr/script/mlsqlAPI/mlsqlConf
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.2.3" data-path="../../../system_udf/">
            
                <a href="../../../system_udf/">
            
                    
                    内置常见UDF
            
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            <ul class="articles">
                
    
        <li class="chapter " data-level="5.2.3.1" data-path="../../../system_udf/http.html">
            
                <a href="../../../system_udf/http.html">
            
                    
                    http请求
            
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        <li class="chapter " data-level="5.2.3.2" data-path="../../../system_udf/vec.html">
            
                <a href="../../../system_udf/vec.html">
            
                    
                    常见函数
            
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            </ul>
            
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        <li class="chapter " data-level="5.2.4" data-path="../../../process/">
            
                <a href="../../../process/">
            
                    
                    一些有用的内置ET
            
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        <li class="chapter " data-level="5.2.4.1" data-path="../../../process/estimator_transformer/TreeBuildExt.html">
            
                <a href="../../../process/estimator_transformer/TreeBuildExt.html">
            
                    
                    计算复杂的父子关系
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.4.2" data-path="../../../process/estimator_transformer/RepartitionExt.html">
            
                <a href="../../../process/estimator_transformer/RepartitionExt.html">
            
                    
                    改变表的分区数
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.4.3" data-path="../../../process/estimator_transformer/SendMessage.html">
            
                <a href="../../../process/estimator_transformer/SendMessage.html">
            
                    
                    如何发送邮件
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.4.4" data-path="../../../process/estimator_transformer/mlsql-watcher.html">
            
                <a href="../../../process/estimator_transformer/mlsql-watcher.html">
            
                    
                    数据采集组件mlsql-watcher使用
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.3" data-path="../../../stream/">
            
                <a href="../../../stream/">
            
                    
                    MLSQL流编程
            
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        <li class="chapter " data-level="5.3.1" data-path="../../../stream/datasource.html">
            
                <a href="../../../stream/datasource.html">
            
                    
                    Kafka和MockStream
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.2" data-path="../../../stream/kakfa_tool.html">
            
                <a href="../../../stream/kakfa_tool.html">
            
                    
                    MLSQL Kafka小工具集锦
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.3" data-path="../../../stream/data_convert.html">
            
                <a href="../../../stream/data_convert.html">
            
                    
                    自动将Kafka中的JSON数据展开为表
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.4" data-path="../../../stream/query_kafka.html">
            
                <a href="../../../stream/query_kafka.html">
            
                    
                    如何高效的AdHoc查询Kafka
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.5" data-path="../../../stream/callback.html">
            
                <a href="../../../stream/callback.html">
            
                    
                    如何设置流式计算回调
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.6" data-path="../../../stream/batch.html">
            
                <a href="../../../stream/batch.html">
            
                    
                    如何对流的结果以批的形式保存
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.7" data-path="../../../stream/window_wartermark.html">
            
                <a href="../../../stream/window_wartermark.html">
            
                    
                    window/watermark的使用
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.8" data-path="../../../stream/stream_mysql_update.html">
            
                <a href="../../../stream/stream_mysql_update.html">
            
                    
                    如何使用MLSQL流式更新MySQL数据
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.9" data-path="../../../stream/web_console.html">
            
                <a href="../../../stream/web_console.html">
            
                    
                    流结果输出到WebConsole
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.4" data-path="../../../ml/">
            
                <a href="../../../ml/">
            
                    
                    MLSQL机器学习编程
            
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        <li class="chapter " data-level="5.4.1" data-path="../../../feature/">
            
                <a href="../../../feature/">
            
                    
                    特征工程
            
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        <li class="chapter " data-level="5.4.1.1" data-path="../../../feature/nlp.html">
            
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                    文本向量化
            
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        <li class="chapter " data-level="5.4.1.1.1" data-path="../../../feature/tfidf.html">
            
                <a href="../../../feature/tfidf.html">
            
                    
                    TFIDF
            
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        <li class="chapter " data-level="5.4.1.1.2" data-path="../../../feature/word2vec.html">
            
                <a href="../../../feature/word2vec.html">
            
                    
                    Word2Vec
            
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            </ul>
            
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        <li class="chapter " data-level="5.4.1.2" data-path="../../../feature/scale.html">
            
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                    特征平滑
            
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        <li class="chapter " data-level="5.4.1.3" data-path="../../../feature/normalize.html">
            
                <a href="../../../feature/normalize.html">
            
                    
                    归一化
            
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        <li class="chapter " data-level="5.4.1.4" data-path="../../../feature/confusion_matrix.html">
            
                <a href="../../../feature/confusion_matrix.html">
            
                    
                    混淆矩阵
            
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        <li class="chapter " data-level="5.4.1.5" data-path="../../../feature/some_extract.html">
            
                <a href="../../../feature/some_extract.html">
            
                    
                    QQ/电话/邮件抽取
            
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                    数据集切分
            
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                    MLSQL Python支持
            
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                    K8s下的Python资源限制
            
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                    dataMode 详解
            
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                    Python并行度你所需要知道的
            
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                    MLSQL内置算法
            
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                    KMeans
            
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                    NaiveBayes
            
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                    ALS
            
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                    RandomForest
            
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                    LDA
            
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                    XGBoost
            
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                    基于Java的深度学习框架集成
            
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                    Cifar10示例
            
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                    部署算法API服务
            
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                    设计和原理
            
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                    部署流程
            
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                    MLSQL动态创建UDF/UDAF
            
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                    Python UDF
            
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                    Scala UDF
            
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                    Scala UDAF
            
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                    Java UDF
            
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                    安全与隐私
            
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                    MLSQL Engine 接口访问控制
            
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                    接口访问Token设置
            
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                    自定义接口访问策略
            
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                    授权用户对数据的访问控制
            
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                    解析时表权限
            
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                    动态资源调整
            
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                    MLSQL 脚本商店和插件
            
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                    MLSQL Engine插件
            
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                    排查错误，三个系统的日志你都要看
            
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                    听说mlsql-cluster暂时不更新了，mlsql-cluster是个啥？
            
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                    写SQL如何避免拷贝黏贴
            
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                    最佳实践
            
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<p>&#x6570;&#x636E;&#x6E90;&#x4E3B;&#x8981;&#x5E94;&#x7528;&#x4E8E;MLSQL&#x7684;Load/Save&#x8BED;&#x6CD5;&#x91CC;&#x3002;&#x5C3D;&#x7BA1;MLSQL&#x63D0;&#x4F9B;&#x4E86;&#x975E;&#x5E38;&#x591A;&#x7684;&#x6570;&#x636E;&#x6E90;&#x652F;&#x6301;<a href="http://docs.mlsql.tech/mlsql-stack/datasource/" target="_blank">&#x52A0;&#x8F7D;&#x548C;&#x5B58;&#x50A8;&#x591A;&#x79CD;&#x6570;&#x636E;&#x6E90;</a>&#xFF0C;&#x4F46;&#x80AF;&#x5B9A;&#x8FD8;&#x6709;&#x975E;&#x5E38;&#x7684;&#x6570;&#x636E;&#x6E90;&#x5E76;&#x6CA1;&#x6709;&#x88AB;&#x5B98;&#x65B9;&#x652F;&#x6301;&#x5230;&#x3002;MLSQL&#x4E3A;&#x6B64;&#x63D0;&#x4F9B;&#x4E86;&#x81EA;&#x5B9A;&#x4E49;&#x6570;&#x636E;&#x6E90;&#x7684;&#x652F;&#x6301;&#x3002;</p>
<p>&#x901A;&#x5E38;&#xFF0C;&#x4E3A;&#x4E86;&#x8FBE;&#x6210;&#x6B64;&#x76EE;&#x6807;&#xFF0C;&#x7528;&#x6237;&#x5927;&#x4F53;&#x9700;&#x8981;&#x5B9E;&#x73B0;&#x4E24;&#x4E2A;&#x6B65;&#x9AA4;&#xFF1A;</p>
<ol>
<li>&#x6309;Spark DataSource&#x6807;&#x51C6;&#x5C01;&#x88C5;&#x5BF9;&#x5E94;&#x7684;&#x6570;&#x636E;&#x6E90;&#x3002;&#x56E0;&#x4E3A;Spark&#x826F;&#x597D;&#x7684;&#x751F;&#x6001;&#x50A8;&#x5907;&#xFF0C;&#x4E00;&#x822C;&#x800C;&#x8A00;&#x5927;&#x90E8;&#x5206;&#x6570;&#x636E;&#x6E90;&#x90FD;&#x4F1A;&#x6709;Spark&#x7684;Connector(DataSource)&#x3002; &#x6240;&#x4EE5;&#x8FD9;&#x4E00;&#x6B65;&#x5B9E;&#x9645;&#x4E0A;&#x4EC5;&#x4EC5;&#x662F;&#x5F15;&#x5165;&#x76F8;&#x5E94;&#x7684;Connector Jar&#x5305;&#x5373;&#x53EF;&#x3002;</li>
<li>&#x6309;MLSQL DataSource&#x6807;&#x51C6;&#x8FDB;&#x4E00;&#x6B65;&#x5C01;&#x88C5;Spark DataSource&#x6570;&#x636E;&#x6E90;&#xFF08;&#x6216;&#x8005;&#x539F;&#x751F;&#x7684;&#x6570;&#x636E;&#x6E90;&#xFF09;&#x3002;&#x6BD4;&#x5982;&#x6211;&#x4E48;&#x5E38;&#x7528;&#x7684;jsonStr,csvStr&#x7B49;&#x5C31;&#x6CA1;&#x6709;&#x4F7F;&#x7528;Spark DataSource Connector,&#x800C;&#x662F;&#x804C;&#x7EA7;&#x4F7F;&#x7528;MLSQL DataSource&#x6807;&#x51C6;&#x5B9E;&#x73B0;&#x7684;&#x3002;</li>
</ol>
<p>&#x5728;&#x8FD9;&#x7BC7;&#x6559;&#x7A0B;&#x4E2D;&#xFF0C;&#x6211;&#x4EEC;&#x4E0D;&#x4F1A;&#x4ECB;&#x7ECD;Spark DataSource&#x7684;&#x5F00;&#x53D1;&#xFF0C;&#x800C;&#x662F;&#x4ECB;&#x7ECD;MLSQL DataSource&#x7684;&#x6807;&#x51C6;&#x3002;</p>
<h2 id="mlsql-excel-&#x6570;&#x636E;&#x6E90;&#x4ECB;&#x7ECD;"><a name="mlsql-excel-&#x6570;&#x636E;&#x6E90;&#x4ECB;&#x7ECD;" class="anchor-navigation-ex-anchor" href="#mlsql-excel-&#x6570;&#x636E;&#x6E90;&#x4ECB;&#x7ECD;"><i class="fa fa-link" aria-hidden="true"></i></a>MLSQL Excel &#x6570;&#x636E;&#x6E90;&#x4ECB;&#x7ECD;</h2>
<p>&#x52A0;&#x8F7D;&#x6216;&#x8005;&#x4FDD;&#x5B58;Excel&#x4F1A;&#x662F;&#x4E00;&#x4E2A;&#x8F83;&#x4E3A;&#x5E38;&#x89C1;&#x7684;&#x64CD;&#x4F5C;&#xFF0C;&#x6211;&#x4EEC;&#x5728;<a href="https://github.com/allwefantasy/mlsql-plugins/tree/master/mlsql-excel" target="_blank">mlsql-plugins</a>&#x5B9E;&#x73B0;&#x4E86;excel&#x5728;MLSQL&#x4E2D;&#x7684;&#x8BFB;&#x53D6;&#x548C;&#x4FDD;&#x5B58;&#x3002;</p>
<p>&#x4F7F;&#x7528;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">load</span> excel.<span class="hljs-string">`/tmp/upload/example_en.xlsx`</span> 
<span class="hljs-keyword">where</span> useHeader=<span class="hljs-string">&quot;true&quot;</span> <span class="hljs-keyword">and</span> 
maxRowsInMemory=<span class="hljs-string">&quot;100&quot;</span> 
<span class="hljs-keyword">and</span> dataAddress=<span class="hljs-string">&quot;A1:C8&quot;</span>
<span class="hljs-keyword">as</span> <span class="hljs-keyword">data</span>;
</code></pre>
<p>&#x4FDD;&#x5B58;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">select</span> <span class="hljs-number">1</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">as</span> <span class="hljs-keyword">as</span> b;
save overwrite b as excel.`/tmp/b.xlsx` where header=&quot;true&quot;;
</code></pre>
<p>&#x73B0;&#x5728;&#x6211;&#x4EEC;&#x6765;&#x770B;&#x770B;&#x5982;&#x4F55;&#x8FDB;&#x884C;&#x5F00;&#x53D1;&#x3002;</p>
<h2 id="excel&#x6570;&#x636E;&#x6E90;&#x5F00;&#x53D1;"><a name="excel&#x6570;&#x636E;&#x6E90;&#x5F00;&#x53D1;" class="anchor-navigation-ex-anchor" href="#excel&#x6570;&#x636E;&#x6E90;&#x5F00;&#x53D1;"><i class="fa fa-link" aria-hidden="true"></i></a>Excel&#x6570;&#x636E;&#x6E90;&#x5F00;&#x53D1;</h2>
<p>&#x8981;&#x5B9E;&#x73B0;&#x4E00;&#x4E2A;&#x6570;&#x636E;&#x6E90;&#x7684;&#x5F00;&#x53D1;&#xFF0C;&#x9700;&#x8981;&#x5B9E;&#x73B0;&#x5982;&#x4E0B;&#x63A5;&#x53E3;&#xFF1A;</p>
<ol>
<li>MLSQLSource &#x8BFB;&#x53D6;&#x64CD;&#x4F5C;</li>
<li>MLSQLSink &#x5199;&#x5165;&#x64CD;&#x4F5C;</li>
<li>MLSQLSourceInfo &#x6743;&#x9650;&#x6821;&#x9A8C;&#x4FE1;&#x606F;&#x7684;&#x751F;&#x6210;</li>
<li>MLSQLRegistry &#x6CE8;&#x518C;&#x6570;&#x636E;&#x6E90;&#x540D;&#x79F0;</li>
<li>VersionCompatibility &#x7248;&#x672C;&#x517C;&#x5BB9;</li>
</ol>
<p>1&#xFF0C;2&#x5FC5;&#x987B;&#x5B9E;&#x73B0;&#x5176;&#x4E2D;&#x4E00;&#x4E2A;&#xFF0C;3&#x53EF;&#x9009;&#xFF0C;4&#x5FC5;&#x987B;&#x3002;</p>
<p>MLSQLSource&#x7684;&#x7B7E;&#x540D;&#xFF1A;</p>
<pre><code class="lang-scala"><span class="hljs-class"><span class="hljs-keyword">trait</span> <span class="hljs-title">MLSQLSource</span> <span class="hljs-keyword">extends</span> <span class="hljs-title">MLSQLDataSource</span> <span class="hljs-keyword">with</span> <span class="hljs-title">MLSQLSourceInfo</span> </span>{
  <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">load</span></span>(reader: <span class="hljs-type">DataFrameReader</span>, config: <span class="hljs-type">DataSourceConfig</span>): <span class="hljs-type">DataFrame</span>
}
</code></pre>
<p>MLSQLSink&#x7684;&#x7B7E;&#x540D;:</p>
<pre><code class="lang-scala"><span class="hljs-class"><span class="hljs-keyword">trait</span> <span class="hljs-title">MLSQLSink</span> <span class="hljs-keyword">extends</span> <span class="hljs-title">MLSQLDataSource</span> </span>{
  <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">save</span></span>(writer: <span class="hljs-type">DataFrameWriter</span>[<span class="hljs-type">Row</span>], config: <span class="hljs-type">DataSinkConfig</span>): <span class="hljs-type">Any</span>
}
</code></pre>
<p>MLSQLSourceInfo&#x7684;&#x7B7E;&#x540D;&#xFF1A;</p>
<pre><code class="lang-scala"><span class="hljs-class"><span class="hljs-keyword">trait</span> <span class="hljs-title">MLSQLSourceInfo</span> <span class="hljs-keyword">extends</span> <span class="hljs-title">MLSQLDataSource</span> </span>{
  <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">sourceInfo</span></span>(config: <span class="hljs-type">DataAuthConfig</span>): <span class="hljs-type">SourceInfo</span>

  <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">explainParams</span></span>(spark: <span class="hljs-type">SparkSession</span>): <span class="hljs-type">DataFrame</span> = {
    <span class="hljs-keyword">import</span> spark.implicits._
    spark.createDataset[<span class="hljs-type">String</span>](<span class="hljs-type">Seq</span>()).toDF(<span class="hljs-string">&quot;name&quot;</span>)
  }
}
</code></pre>
<p>&#x4E0D;&#x8FC7;&#x901A;&#x5E38;&#x90FD;&#x4F1A;&#x6709;&#x4E00;&#x4E9B;&#x57FA;&#x7C7B;&#xFF0C;&#x7B80;&#x5316;&#x6211;&#x4EEC;&#x7684;&#x64CD;&#x4F5C;&#x3002;&#x6BD4;&#x5982;&#x5982;&#x679C;&#x4F60;&#x5B9E;&#x73B0;&#x7684;&#x662F;&#x6587;&#x4EF6;&#x7C7B;&#x64CD;&#x4F5C;&#xFF0C;&#x90A3;&#x4E48;&#x5C31;&#x53EF;&#x4EE5;&#x9009;&#x7528;<code>streaming.core.datasource.MLSQLBaseFileSource</code>&#x4F5C;&#x4E3A;&#x5B9E;&#x73B0;&#x7684;&#x57FA;&#x7C7B;&#x3002;MLSQLExcel&#x4E5F;&#x4F1A;&#x9009;&#x62E9;&#x8BE5;&#x7C7B;&#x4F5C;&#x4E3A;&#x57FA;&#x7C7B;&#x3002;</p>
<p>&#x4E0B;&#x9762;&#x662F;&#x7B7E;&#x540D;&#xFF1A;</p>
<pre><code class="lang-scala"><span class="hljs-class"><span class="hljs-keyword">class</span> <span class="hljs-title">MLSQLExcel</span>(<span class="hljs-params">override val uid: <span class="hljs-type">String</span></span>)</span>
  <span class="hljs-keyword">extends</span> <span class="hljs-type">MLSQLBaseFileSource</span>
    <span class="hljs-keyword">with</span> <span class="hljs-type">WowParams</span> <span class="hljs-keyword">with</span> <span class="hljs-type">VersionCompatibility</span> {
  <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">this</span></span>() = <span class="hljs-keyword">this</span>(<span class="hljs-type">BaseParams</span>.randomUID())
</code></pre>
<p>&#x6211;&#x4EEC;&#x5148;&#x6765;&#x770B;&#x770B;&#x5982;&#x4F55;Register&#x6211;&#x4EEC;&#x7684;&#x6570;&#x636E;&#x6E90;&#xFF1A;</p>
<pre><code class="lang-scala"> <span class="hljs-keyword">override</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">register</span></span>(): <span class="hljs-type">Unit</span> = {
    <span class="hljs-type">DataSourceRegistry</span>.register(<span class="hljs-type">MLSQLDataSourceKey</span>(fullFormat, <span class="hljs-type">MLSQLSparkDataSourceType</span>), <span class="hljs-keyword">this</span>)
    <span class="hljs-type">DataSourceRegistry</span>.register(<span class="hljs-type">MLSQLDataSourceKey</span>(shortFormat, <span class="hljs-type">MLSQLSparkDataSourceType</span>), <span class="hljs-keyword">this</span>)
  }

  <span class="hljs-keyword">override</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">fullFormat</span></span>: <span class="hljs-type">String</span> = <span class="hljs-string">&quot;com.crealytics.spark.excel&quot;</span>

  <span class="hljs-keyword">override</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">shortFormat</span></span>: <span class="hljs-type">String</span> = <span class="hljs-string">&quot;excel&quot;</span>
</code></pre>
<p>&#x5B9A;&#x4E49;fullFormat&#xFF0C;shortFormat&#x3002; fullFormat&#x662F;Spark&#x6570;&#x636E;&#x6E90;&#x7684;&#x7C7B;&#x578B;&#x3002;shortFormat&#x5219;&#x662F;&#x4F60;&#x7ED9;&#x8FD9;&#x4E2A;&#x6570;&#x636E;&#x6E90;&#x53D6;&#x7684;&#x77ED;&#x540D;&#x3002;&#x8FD9;&#x6837;&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x5728;load/save&#x8BED;&#x53E5;&#x4E2D;&#x76F4;&#x63A5;&#x4F7F;&#x7528;excel&#x3002;</p>
<p>register&#x65B9;&#x6CD5;&#x4F1A;&#x5C06;&#x76F8;&#x5173;&#x4FE1;&#x606F;&#x6CE8;&#x518C;&#x5230;&#x4E00;&#x4E2A;&#x7EDF;&#x4E00;&#x7684;&#x5730;&#x65B9;&#x3002;</p>
<p>&#x63A5;&#x7740;&#x662F;&#x63D0;&#x4F9B;&#x6743;&#x9650;&#x6821;&#x9A8C;&#x7684;&#x4E00;&#x4E9B;&#x5FC5;&#x8981;&#x4FE1;&#x606F;&#xFF1A;</p>
<pre><code>override def sourceInfo(config: DataAuthConfig): SourceInfo = {
    val context = ScriptSQLExec.contextGetOrForTest()
    val owner = config.config.get(&quot;owner&quot;).getOrElse(context.owner)
    SourceInfo(shortFormat, &quot;&quot;, resourceRealPath(context.execListener, Option(owner), config.path))
  }
</code></pre><p>&#x5176;&#x5B9E;&#x5C31;&#x662F;&#x8981;&#x62FC;&#x88C5;&#x51FA;&#x4E00;&#x4E2A;SourceInfo&#x5BF9;&#x8C61;&#xFF0C;&#x8FD9;&#x4E2A;&#x5BF9;&#x8C61;&#x4F1A;&#x4EA4;&#x7ED9;&#x6821;&#x9A8C;&#x670D;&#x52A1;&#x5668;&#x8FDB;&#x884C;&#x6821;&#x9A8C;&#x3002;</p>
<p>&#x6700;&#x540E;&#x662F;&#x7248;&#x672C;&#x517C;&#x5BB9;,&#x4F60;&#x9700;&#x8981;&#x660E;&#x786E;&#x6307;&#x5B9A;&#x517C;&#x5BB9;&#x54EA;&#x4E9B;&#x7248;&#x672C;&#x7684;MLSQL&#x3002;</p>
<pre><code class="lang-scala"><span class="hljs-keyword">override</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">supportedVersions</span></span>: <span class="hljs-type">Seq</span>[<span class="hljs-type">String</span>] = {
    <span class="hljs-type">Seq</span>(<span class="hljs-string">&quot;1.5.0-SNAPSHOT&quot;</span>, <span class="hljs-string">&quot;1.5.0&quot;</span>, <span class="hljs-string">&quot;1.6.0-SNAPSHOT&quot;</span>, <span class="hljs-string">&quot;1.6.0&quot;</span>, <span class="hljs-string">&quot;2.0.0&quot;</span>, <span class="hljs-string">&quot;2.0.1&quot;</span>, <span class="hljs-string">&quot;2.0.1-SNAPSHOT&quot;</span>,<span class="hljs-string">&quot;2.1.0-SNAPSHOT&quot;</span>,
      <span class="hljs-string">&quot;2.1.0&quot;</span>)
  }
</code></pre>
<p>&#x5728;MLSQL Excel&#x8FD9;&#x4E2A;&#x793A;&#x4F8B;&#x4E2D;&#xFF0C;load/save&#x5B8C;&#x5168;&#x4EA4;&#x7ED9;&#x57FA;&#x7C7B;&#x5C31;&#x597D;&#x4E86;&#x3002;&#x5982;&#x679C;&#x6709;&#x7279;&#x6B8A;&#x9700;&#x6C42;&#xFF0C;&#x53EF;&#x7531;&#x8986;&#x76D6;&#x57FA;&#x7C7B;&#x3002;&#x6211;&#x4EEC;&#x6765;&#x770B;&#x770B;&#x57FA;&#x7C7B;&#x662F;&#x5982;&#x4F55;&#x5B9E;&#x73B0;&#x6570;&#x636E;&#x52A0;&#x8F7D;&#x7684;&#x3002;&#x5177;&#x4F53;&#x4EE3;&#x7801;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code class="lang-scala"><span class="hljs-keyword">override</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">load</span></span>(reader: <span class="hljs-type">DataFrameReader</span>, config: <span class="hljs-type">DataSourceConfig</span>): <span class="hljs-type">DataFrame</span> = {
    <span class="hljs-keyword">val</span> context = <span class="hljs-type">ScriptSQLExec</span>.contextGetOrForTest()
    <span class="hljs-keyword">val</span> format = config.config.getOrElse(<span class="hljs-string">&quot;implClass&quot;</span>, fullFormat)
    <span class="hljs-keyword">val</span> owner = config.config.get(<span class="hljs-string">&quot;owner&quot;</span>).getOrElse(context.owner)
    reader.options(rewriteConfig(config.config)).format(format).load(resourceRealPath(context.execListener, <span class="hljs-type">Option</span>(owner), config.path))
  }
</code></pre>
<p>&#x901A;&#x8FC7;<code>ScriptSQLExec</code>&#x5BF9;&#x8C61;&#x53EF;&#x4EE5;&#x83B7;&#x53D6;&#x4E00;&#x4E2A;context&#x5BF9;&#x8C61;&#xFF0C;&#x8BE5;&#x5BF9;&#x8C61;&#x53EF;&#x5F53;&#x524D;HTTP&#x8BF7;&#x6C42;&#x7684;&#x6240;&#x6709;&#x8BF7;&#x6C42;&#x53C2;&#x6570;&#x3002; <code>config: DataSourceConfig</code>&#x5219;&#x5305;&#x542B;&#x4E86; load where&#x6761;&#x4EF6;&#x91CC;&#x7684;&#x6240;&#x6709;&#x53C2;&#x6570;&#xFF0C;&#x5BF9;&#x5E94;&#x7684;&#x662F;&#xFF1A;</p>
<pre><code>useHeader=&quot;true&quot; and 
maxRowsInMemory=&quot;100&quot; 
and dataAddress=&quot;A1:C8&quot;
</code></pre><p>&#x63A5;&#x7740;&#x5C06;&#x8FD9;&#x4E9B;&#x53C2;&#x6570;&#x8BBE;&#x7F6E;&#x5230;reader&#x91CC;&#xFF0C;&#x5E76;&#x4E14;&#x901A;&#x8FC7;resourceRealPath&#x89E3;&#x6790;&#x5230;excel&#x6587;&#x4EF6;&#x7684;&#x5B9E;&#x9645;&#x8DEF;&#x5F84;&#xFF0C;&#x56E0;&#x4E3A;&#x6211;&#x4EEC;&#x6709;&#x4E3B;&#x76EE;&#x5F55;&#x7684;&#x6982;&#x5FF5;&#x3002;&#x8FD9;&#x91CC;&#x662F;&#x6807;&#x51C6;&#x7684;DataFrame &#x8BFB; API&#x4E86;&#x3002;</p>
<p>&#x76F8;&#x5E94;&#x7684;&#xFF0C;save&#x64CD;&#x4F5C;&#x4E5F;&#x662F;&#x7C7B;&#x4F3C;&#x7684;&#xFF1A;</p>
<pre><code class="lang-sql"> override def save(writer: DataFrameWriter[Row], config: DataSinkConfig): Any = {
    val context = ScriptSQLExec.contextGetOrForTest()
    val format = config.config.getOrElse(&quot;implClass&quot;, fullFormat)
    val partitionByCol = config.config.getOrElse(&quot;partitionByCol&quot;, &quot;&quot;).split(&quot;,&quot;).filterNot(_.isEmpty)
    if (partitionByCol.length &gt; 0) {
      writer.partitionBy(partitionByCol: _*)
    }
    writer.options(rewriteConfig(config.config)).mode(config.mode).format(format).save(resourceRealPath(context.execListener, Option(context.owner), config.path))
  }
</code></pre>
<p>&#x5F53;&#x7136;&#x4E86;&#xFF0C;&#x7528;&#x6237;&#x4E5F;&#x53EF;&#x4EE5;&#x5B8C;&#x5168;&#x5B9E;&#x73B0;&#x81EA;&#x5DF1;&#x7684;&#x903B;&#x8F91;&#xFF0C;&#x6BD4;&#x5982;&#x8BFB;&#x53D6;&#x4E00;&#x4E2A;&#x56FE;&#x7247;&#x4EC0;&#x4E48;&#x7684;&#xFF0C;&#x76F4;&#x63A5;&#x4F7F;&#x7528;HDFS API &#x53BB;&#x8BFB;&#x53D6;&#x5373;&#x53EF;&#x3002;&#x53EF;&#x4EE5;&#x4F7F;&#x7528;&#x6211;&#x4EEC;&#x5C01;&#x88C5;&#x597D;&#x7684;<code>tech.mlsql.common.utils.hdfs.HDFSOperator</code>&#x8BFB;&#x53D6;&#x3002;</p>
<p>&#x8FD9;&#x6BB5;&#x4EE3;&#x7801;&#x662F;&#x4FDD;&#x5B58;&#x56FE;&#x7247;&#x4F8B;&#x5B50;&#xFF1A;</p>
<pre><code class="lang-scala"><span class="hljs-keyword">override</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">save</span></span>(writer: <span class="hljs-type">DataFrameWriter</span>[<span class="hljs-type">Row</span>], config: <span class="hljs-type">DataSinkConfig</span>): <span class="hljs-type">Unit</span> = {
    <span class="hljs-keyword">val</span> context = <span class="hljs-type">ScriptSQLExec</span>.contextGetOrForTest()
    <span class="hljs-keyword">val</span> baseDir = resourceRealPath(context.execListener, <span class="hljs-type">Option</span>(context.owner), config.path)

    <span class="hljs-keyword">if</span> (<span class="hljs-type">HDFSOperator</span>.fileExists(baseDir)) {
      <span class="hljs-keyword">if</span> (config.mode == <span class="hljs-type">SaveMode</span>.<span class="hljs-type">Overwrite</span>) {
        <span class="hljs-type">HDFSOperator</span>.deleteDir(baseDir)
      }
      <span class="hljs-keyword">if</span> (config.mode == <span class="hljs-type">SaveMode</span>.<span class="hljs-type">ErrorIfExists</span>) {
        <span class="hljs-keyword">throw</span> <span class="hljs-keyword">new</span> <span class="hljs-type">MLSQLException</span>(<span class="hljs-string">s&quot;<span class="hljs-subst">${baseDir}</span> is exists&quot;</span>)
      }
    }

    config.config.get(imageColumn.name).map { m =&gt;
      set(imageColumn, m)
    }.getOrElse {
      <span class="hljs-keyword">throw</span> <span class="hljs-keyword">new</span> <span class="hljs-type">MLSQLException</span>(<span class="hljs-string">s&quot;<span class="hljs-subst">${imageColumn.name}</span> is required&quot;</span>)
    }

    config.config.get(fileName.name).map { m =&gt;
      set(fileName, m)
    }.getOrElse {
      <span class="hljs-keyword">throw</span> <span class="hljs-keyword">new</span> <span class="hljs-type">MLSQLException</span>(<span class="hljs-string">s&quot;<span class="hljs-subst">${fileName.name}</span> is required&quot;</span>)
    }

    <span class="hljs-keyword">val</span> _fileName = $(fileName)
    <span class="hljs-keyword">val</span> _imageColumn = $(imageColumn)

    <span class="hljs-keyword">val</span> saveImage = (fileName: <span class="hljs-type">String</span>, buffer: <span class="hljs-type">Array</span>[<span class="hljs-type">Byte</span>]) =&gt; {
      <span class="hljs-type">HDFSOperator</span>.saveBytesFile(baseDir, fileName, buffer)
      baseDir + <span class="hljs-string">&quot;/&quot;</span> + fileName
    }

    config.df.get.rdd.map(r =&gt; saveImage(r.getAs[<span class="hljs-type">String</span>](_fileName), r.getAs[<span class="hljs-type">Array</span>[<span class="hljs-type">Byte</span>]](_imageColumn))).count()
  }
</code></pre>
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